The law does not care that it was an agent.
Aegis gives autonomous AI a legal spine. Every action gets a verdict before it executes. Every decision leaves court-grade evidence after. And the record it builds is what finally makes agents insurable.
Enforcement is not hypothetical. It is indexed to inflation.
An agent can commit a year of violations in an afternoon. The statutes were priced for humans.
Four products. One spine.
Check. Hold. Prove.
Deterministic rules decide most traffic in about 3 ms. Models are consulted only when the law is genuinely ambiguous, and the hard 2 to 5 percent gets a frontier model's attention.
Ambiguous actions wait, up to your deadline, then quarantine to your team. Never a forced fast answer on an irreversible action. Never silently allowed.
Verdict, statute, rule version, hash: chained into your ledger the moment it happens. When someone asks a question two years later, the answer already exists.
Built for the people on the hook.
We keep hashes, not your data.
The verdict plane is stateless. Content passes through in memory, gets its verdict, and is gone. What remains is proof, not payload.
Aegis keeps
- hashes
- rule IDs and versions
- verdict codes
- counters and chain digests
- categorical telemetry
Aegis never holds
- message content
- prompts
- PII
- credentials or keys
- model reasoning
If Aegis is subpoenaed, there is nothing of yours to hand over. If you are, everything you need is already in your storage.
Compliance is the product. Insurability is the payoff.
From the first action it checks, Aegis accrues an anonymous, categorical picture of how agents behave: agent type, action class, verdict, jurisdiction, industry. Zero PII, zero content. It is the actuarial dataset agentic risk has never had, and it is why the record your agents build here is the record underwriters will eventually price on.